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Ch. 4 - Discrete Probability Distributions
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470Not the one you use?Change textbook
Chapter 4, Problem 4.R.23a

In Exercises 21–26, find the indicated probabilities using the geometric distribution, the Poisson distribution, or the binomial distribution. Then determine whether the events are unusual. If convenient, use a table or technology to find the probabilities
Thirty-six percent of Americans think there is still a need for the practice of changing their clocks for Daylight Savings Time. You randomly select seven Americans. Find the probability that the number who say there is still a need for changing their clocks for Daylight Savings Time is (a) exactly four

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Step 1: Identify the type of distribution to use. Since the problem involves a fixed number of trials (7 Americans), each with two possible outcomes (agree or disagree), and a constant probability of success (36% or 0.36), this is a binomial distribution problem.
Step 2: Write down the formula for the binomial probability distribution: P(X = k) = (n choose k) * p^k * (1-p)^(n-k), where 'n' is the number of trials, 'k' is the number of successes, 'p' is the probability of success, and '1-p' is the probability of failure.
Step 3: Substitute the given values into the formula. Here, n = 7 (number of trials), k = 4 (number of successes), and p = 0.36 (probability of success). The formula becomes: P(X = 4) = (7 choose 4) * (0.36)^4 * (1-0.36)^(7-4).
Step 4: Calculate the binomial coefficient (7 choose 4), which is given by the formula: (n choose k) = n! / [k! * (n-k)!]. Substitute n = 7 and k = 4 to compute this value.
Step 5: Multiply the binomial coefficient by the probabilities raised to their respective powers. Specifically, compute (0.36)^4 and (1-0.36)^3, then multiply these values together with the binomial coefficient to find the probability P(X = 4).

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Binomial Distribution

The binomial distribution models the number of successes in a fixed number of independent Bernoulli trials, each with the same probability of success. In this context, it applies to the scenario of selecting seven Americans, where each individual can either support or oppose the need for changing clocks. The probability of exactly four supporters can be calculated using the binomial formula, which incorporates the number of trials, the number of successes, and the probability of success.
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Probability Calculation

Probability calculation involves determining the likelihood of a specific outcome occurring within a defined set of possibilities. For the binomial distribution, this is done using the formula P(X = k) = (n choose k) * p^k * (1-p)^(n-k), where 'n' is the total number of trials, 'k' is the number of successes, and 'p' is the probability of success. Understanding how to apply this formula is crucial for solving the given problem.
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Unusual Events

An event is considered unusual if its probability is significantly low, typically defined as less than 5%. In the context of the problem, after calculating the probability of exactly four Americans supporting the need for Daylight Savings Time, one must assess whether this probability falls below the threshold for unusual events. This evaluation helps in understanding the significance of the result in a broader context.
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Related Practice
Textbook Question

In Exercises 7 and 8, (a) find the mean, variance, and standard deviation of the probability distribution, and (b) interpret the results.


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Textbook Question

In Exercises 21–26, find the indicated probabilities using the geometric distribution, the Poisson distribution, or the binomial distribution. Then determine whether the events are unusual. If convenient, use a table or technology to find the probabilities.

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Textbook Question

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Textbook Question

In Exercises 19 and 20, find the mean, variance, and standard deviation of the binomial distribution for the given random variable. Interpret the results and determine any unusual values.

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Textbook Question

In Exercises 11 and 12, determine whether the experiment is a binomial experiment. If it is, identify a success; specify the values of n, p, and q; and list the possible values of the random variable x. If it is not a binomial experiment, explain why.


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